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The bidder exclusion effect

Author

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  • Dominic Coey
  • Bradley Larsen
  • Kane Sweeney

Abstract

We introduce a new, simple‐to‐compute test of independence of valuations and the number of bidders for ascending button auctions with symmetric, conditionally independent private values. The test involves estimating the expected revenue drop from excluding a bidder at random, which can be computed as a scaled sample average of a difference of order statistics. This object also provides a bound on counterfactual revenue changes from optimal reserve pricing or bidder mergers. We illustrate the approach using data from timber auctions, where we find some evidence that bidder valuations and the number of participants are not independent.

Suggested Citation

  • Dominic Coey & Bradley Larsen & Kane Sweeney, 2019. "The bidder exclusion effect," RAND Journal of Economics, RAND Corporation, vol. 50(1), pages 93-120, March.
  • Handle: RePEc:bla:randje:v:50:y:2019:i:1:p:93-120
    DOI: 10.1111/1756-2171.12263
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    References listed on IDEAS

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    1. Susan Athey & Jonathan Levin & Enrique Seira, 2011. "Comparing open and Sealed Bid Auctions: Evidence from Timber Auctions," The Quarterly Journal of Economics, Oxford University Press, vol. 126(1), pages 207-257.
    2. Ali Hortaçsu & Gregor Matvos & Chad Syverson & Sriram Venkataraman, 2013. "Indirect Costs of Financial Distress in Durable Goods Industries: The Case of Auto Manufacturers," Review of Financial Studies, Society for Financial Studies, vol. 26(5), pages 1248-1290.
    3. Lopomo, Giuseppe, 2001. "Optimality and Robustness of the English Auction," Games and Economic Behavior, Elsevier, vol. 36(2), pages 219-240, August.
    4. Elena Krasnokutskaya, 2011. "Identification and Estimation of Auction Models with Unobserved Heterogeneity," Review of Economic Studies, Oxford University Press, vol. 78(1), pages 293-327.
    5. Marmer, Vadim & Shneyerov, Artyom & Xu, Pai, 2013. "What model for entry in first-price auctions? A nonparametric approach," Journal of Econometrics, Elsevier, vol. 176(1), pages 46-58.
    6. Bulow, Jeremy & Klemperer, Paul, 1996. "Auctions versus Negotiations," American Economic Review, American Economic Association, vol. 86(1), pages 180-194, March.
    7. Nicola Lacetera & Bradley J. Larsen & Devin G. Pope & Justin R. Sydnor, 2016. "Bid Takers or Market Makers? The Effect of Auctioneers on Auction Outcome," American Economic Journal: Microeconomics, American Economic Association, vol. 8(4), pages 195-229, November.
    8. Susan Athey & Dominic Coey & Jonathan Levin, 2013. "Set-Asides and Subsidies in Auctions," American Economic Journal: Microeconomics, American Economic Association, vol. 5(1), pages 1-27, February.
    9. Baldwin, Laura H & Marshall, Robert C & Richard, Jean-Francois, 1997. "Bidder Collusion at Forest Service Timber Sales," Journal of Political Economy, University of Chicago Press, vol. 105(4), pages 657-699, August.
    10. Tong Li & Xiaoyong Zheng, 2009. "Entry and Competition Effects in First-Price Auctions: Theory and Evidence from Procurement Auctions," Review of Economic Studies, Oxford University Press, vol. 76(4), pages 1397-1429.
    11. Li, Tong & Perrigne, Isabelle & Vuong, Quang, 2003. "Semiparametric Estimation of the Optimal Reserve Price in First-Price Auctions," Journal of Business & Economic Statistics, American Statistical Association, vol. 21(1), pages 53-64, January.
    12. Sonia Jaffe & E. Glen Weyl, 2013. "The First-Order Approach to Merger Analysis," American Economic Journal: Microeconomics, American Economic Association, vol. 5(4), pages 188-218, November.
    13. McAfee, R. Preston & McMillan, John, 1987. "Auctions with entry," Economics Letters, Elsevier, vol. 23(4), pages 343-347.
    14. Harry J. Paarsch & Han Hong, 2006. "An Introduction to the Structural Econometrics of Auction Data," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262162350, September.
    15. Hickman Brent R. & Hubbard Timothy P. & Sağlam Yiğit, 2012. "Structural Econometric Methods in Auctions: A Guide to the Literature," Journal of Econometric Methods, De Gruyter, vol. 1(1), pages 67-106, August.
    16. Hendricks, Ken & Porter, Robert H., 2007. "An Empirical Perspective on Auctions," Handbook of Industrial Organization, in: Mark Armstrong & Robert Porter (ed.),Handbook of Industrial Organization, edition 1, volume 3, chapter 32, pages 2073-2143, Elsevier.
    17. Matthew Shum, 2000. "Nonparametric Tests for Common Values," Econometric Society World Congress 2000 Contributed Papers 1598, Econometric Society.
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    Citations

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    Cited by:

    1. Doraszelski, Ulrich & Seim, Katja & Sinkinson, Michael & Wang, Peichun, 2016. "Ownership Concentration and Strategic Supply Reduction," CEPR Discussion Papers 11173, C.E.P.R. Discussion Papers.
    2. Jayeeta Bhattacharya & Nathalie Gimenes & Emmanuel Guerre, 2019. "Semiparametric Quantile Models for Ascending Auctions with Asymmetric Bidders," Papers 1911.13063, arXiv.org, revised Sep 2020.
    3. Nicola Lacetera & Bradley J. Larsen & Devin G. Pope & Justin R. Sydnor, 2016. "Bid Takers or Market Makers? The Effect of Auctioneers on Auction Outcome," American Economic Journal: Microeconomics, American Economic Association, vol. 8(4), pages 195-229, November.
    4. Kaplan, Uma & Marmer, Vadim & Shneyerov, Artyom, 2016. "Identifying Collusion in English Auctions," Microeconomics.ca working papers vadim_marmer-2016-3, Vancouver School of Economics, revised 08 Jul 2017.
    5. Ulrich Doraszelski & Katja Seim & Michael Sinkinson & Peichun Wang, 2017. "Ownership Concentration and Strategic Supply Reduction," NBER Working Papers 23034, National Bureau of Economic Research, Inc.
    6. Joachim Freyberger & Bradley J. Larsen, 2017. "Identification in Ascending Auctions, with an Application to Digital Rights Management," NBER Working Papers 23569, National Bureau of Economic Research, Inc.
    7. Sweeting, Andrew & Bhattacharya, Vivek, 2015. "Selective entry and auction design," International Journal of Industrial Organization, Elsevier, vol. 43(C), pages 189-207.

    More about this item

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • D44 - Microeconomics - - Market Structure, Pricing, and Design - - - Auctions
    • L10 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - General
    • L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets
    • L40 - Industrial Organization - - Antitrust Issues and Policies - - - General

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